Martin Valgur
R&D Tech Lead, Autonomous Navigation
Tallinn, Harju County, Estonia
Summary
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Rockstar🎓
Top SchoolMartin Valgur is an R&D tech lead specializing in autonomous navigation with 12 years of experience building localization, mapping and state-estimation systems for autonomous ground vehicles. Based in Tallinn, he progressed from embedded and remote sensing software to leading navigation research and delivery at Milrem Robotics, pairing an MSc in Computer Science with a physics BSc. He is a hands-on engineer who bridges research and production: his open-source contributions span C++ package management and robotics libraries (notably conan-center-index, vcpkg and GTSAM) and include substantial build-system, CI and cross-platform reliability work. Martin’s background in large-scale geospatial and telecom data projects and his early nanosatellite networking work reflect a knack for solving resource-constrained, real-world sensing problems. Colleagues rely on him to turn complex algorithmic ideas into reproducible, testable builds and deployable systems.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BSc, Physics, Bachelor of Science - BSc, Physics at University of Tartu
Estonian, English, German, French, Russian
Stackoverflow
6,042reputation
1.2mreached
105answers
2questions
dictionary
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Github Skills (54)
dependency-management10
opencv10
github-ci10
robotics10
c-language10
lib10
pytest10
camera-calibration10
python10
package-management10
image-processing10
testing10
build-system10
cmake10
cicd10
Programming languages (17)
Github contributions (5)
conan-io/conan-center-index
Mar 2023 - Mar 2025
Recipes for the ConanCenter repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1230 reviews, 1868 PRs, 1704 comments in 2 years
Contributions summary:Martin's commits focused on migrating various components within the repository to Conan 2.0, involving substantial modifications to build systems, code compilation, and dependency management. Key contributions included ensuring compatibility with the updated versions of dependencies, fixing compilation errors, addressing build failures, and streamlining packaging procedures, ultimately ensuring the successful build and deployment of the libraries. In addition, the user added and improved test packages, highlighting a commitment to testing the libraries.
dependenciescpprecipespackage-managerconan-recipe
borglab/gtsam
Feb 2020 - Jan 2025
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:Software Engineer
Software EngineerContributions:2 reviews, 3 PRs, 3 comments in 4 years 11 months
Contributions summary:Martin primarily focused on refactoring and upgrading dependencies within the GTSAM library. Their contributions include removing unused header files to improve compilation efficiency and updating the Spectra library to version 1.1.0. They also addressed angle wrapping issues in Python tests and made code adjustments to ensure compatibility with newer compiler versions.
smoothingsparsec-plus-plushierarchicalpattern-recognition
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